Computer vision (CV) tools have emerged as indispensable assets in the fields of medicine and biology, providing a broad spectrum of applications for both research and diagnostic purposes. These tools facilitate the precise localization and delineation of specific tissues and cellular structures within time-lapse sequences or static images. This process is known as “images segmentation”, the identification of objects of interest in a picture. Leveraging advanced artificial intelligence (AI) algorithms, image segmentation has become a cornerstone in biomedical research. Despite significant advances in the diagnosis and treatment of primary tumors, the prevention and management of metastasis remain critical and urgent areas of research into clinical oncology.